Update README.md

README.md

@@ -1,3 +1,47 @@
 ---
+language: en
 license: mit
+tags:
+- text-classfication
+- int8
+- Intel® Neural Compressor
+- QuantizationAwareTraining
+datasets: 
+- mrpc
+metrics:
+- f1
 ---
+
+# INT8 BERT base uncased finetuned MRPC
+
+### QuantizationAwareTraining
+
+This is an INT8  PyTorch model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 
+
+The original fp32 model comes from the fine-tuned model [Intel/MiniLM-L12-H384-uncased-mrpc](https://huggingface.co/Intel/MiniLM-L12-H384-uncased-mrpc).
+
+### Test result
+
+|   |INT8|FP32|
+|---|:---:|:---:|
+| **Accuracy (eval-f1)** |0.9068|0.9097|
+| **Model size (MB)**  |33.1|127|
+
+### Load with Intel® Neural Compressor:
+
+```python
+from neural_compressor.utils.load_huggingface import OptimizedModel
+int8_model = OptimizedModel.from_pretrained(
+    'Intel/MiniLM-L12-H384-uncased-mrpc-int8-qat',
+)
+```
+
+### Training hyperparameters
+    
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+- train_batch_size: 16
+- eval_batch_size: 8